Month: August 2023

Basic knowledge https://developers.google.com/machine-learning/crash-course/embeddings/video-lecture A good one : explain embedding and recommendation system Type Definition Example content-based filtering Uses similarity between items to recommend items similar to what the user likes. If user…

Handling imbalanced datasets is a common challenge in machine learning, especially for classification tasks where the number of examples in different classes varies significantly. Imbalanced datasets can lead to biased…

Evaluating the performance of machine learning models is a crucial step to understand how well your model is generalizing to new, unseen data. There are various evaluation metrics and techniques…

KNN (K-Nearest Neighbors), K-means, and Mean Shift are all machine learning techniques used for different types of tasks, primarily in clustering and pattern recognition. Let’s break down the differences between…

New install: Download any .iso file from: ( for debian 12) https://www.debian.org/releases/bookworm/debian-installer/   Cp to usb stick https://www.debian.org/releases/bookworm/amd64/ch04s03.en.html # cp debian.iso /dev/sdX # sync Insert usb to PC to boot…

Boosting and bagging are both ensemble learning techniques in machine learning that aim to improve the performance of individual models by combining the predictions of multiple base models. They work…

why entropy is defined as H(X)=−∑p(x)log(p(x)) Entropy, as defined by the formula H(X) = -∑p(x)log(p(x)), might seem complex at first, but it has a deep and intuitive connection to information…